Virtual Axle Temperature Estimation via Convection Models
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Solution Overview
Problem
Conventional drivetrains lack real-time monitoring of axle assembly temperatures, leading to potential overheating during high load situations, which can cause damage and increase warranty costs, and existing solutions like physical sensors are costly.
Innovation Solution
A real-time virtual axle assembly temperature sensor system that uses a lumped system model and convection heat transfer models to estimate axle assembly temperatures based on ambient and transmission fluid temperatures, operating mode, and other parameters, allowing for torque management and speed limiting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If physical temperature sensors are installed in the axle assembly, then real-time temperature monitoring is achieved, but system cost increases
Solution Approach 1:
The patent creates a virtual copy of the temperature sensor by implementing a computational model that calculates axle assembly temperature based on input shaft temperature, transmission fluid temperature, and operating conditions. This virtual sensor replaces the need for physical temperature sensors within the axle assembly, maintaining monitoring capability while eliminating the cost and complexity of physical sensor installation.
Solution Approach 2:
The patent substitutes the mechanical/physical temperature sensing system with an electronic computational system. Instead of using physical sensors to directly measure temperature, the system uses a controller to calculate temperature based on mathematical models and input from existing temperature sensors (input shaft and transmission fluid), thereby replacing the need for complex physical sensor infrastructure.
2Reliability
If physical temperature sensors are installed in the axle assembly, then overheating detection is improved, but manufacturing cost increases
Solution Approach 1:
The patent creates a virtual copy of the temperature sensor by implementing a computational model that calculates axle assembly temperature based on input shaft temperature, transmission fluid temperature, and operating conditions. This virtual sensor replaces the need for physical temperature sensors within the axle assembly, maintaining monitoring capability while eliminating the cost and complexity of physical sensor installation.
3Device complexity
If axle assembly temperature is not monitored, then system simplicity is maintained, but potential damage from overheating occurs
Solution Approach 1:
The patent substitutes the mechanical/physical temperature sensing system with an electronic computational system. Instead of using physical sensors to directly measure temperature, the system uses a controller to calculate temperature based on mathematical models and input from existing temperature sensors (input shaft and transmission fluid), thereby replacing the need for complex physical sensor infrastructure.
Solution Approach 2:
The patent implements a feedback mechanism where the controller continuously calculates axle assembly temperature based on operating conditions and compares it against threshold values. When overheating is detected, the system can trigger warnings or adjust operation, creating a closed-loop protection system that prevents damage while maintaining simplicity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables effective prevention of axle assembly overheating by estimating temperatures accurately without the need for physical sensors, reducing costs and preventing damage, while also optimizing lubricant usage and vehicle performance.
Implementation Method 1
the heat lost to the environment via the gearbox housing and the axle shaft housing is determined based on a natural convection heat transfer model when the vehicle is non-moving
Implementation Method 2
the heat lost to the environment via the gearbox housing and the axle shaft housing is determined based on a forced convection heat transfer model when the vehicle is moving
Data Source
AI summary
Techniques for real-time virtual sensing of an axle assembly temperature include determining, at a controller of a vehicle, an initial temperature of an axle assembly of the vehicle based on an ambient temperature and a fluid temperature of a transmission. The techniques include determining, at the controller, an operating mode of the vehicle, the operating mode of the vehicle being one of moving and non-moving. The techniques also include estimating, at the controller, a temperature of the axle assembly based on the initial axle assembly temperature and the vehicle operating mode using an axle temperature model.


